Web3Way Logo

Trade

sell - RENDER

Status
loss
2025-06-17 15:16:29
8 minutes
PNL
-0.83
Entry: 3.268
Last: 3.29500000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -0.3926
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.56
Prediction 3 Probability
n/a
ML Trade Score: -90
ML Pullback Score: 2.44

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.01791187455
Details
  1. score: 1.24
  2. 1H
  3. ema9 - 3.26472
  4. ema21 - 3.33289
  5. ema50 - 3.40154
  6. ema100 - 3.42705
  7. price_ema9_diff - 0.00100174
  8. ema9_ema21_diff - -0.0204534
  9. ema21_ema50_diff - -0.0201803
  10. price_ema100_diff - -0.0464113
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.379383
  14. kc_percentage - 0.216581
  15. kc_width_percentage - 0.0650536
  16. volume_ema_diff - 0.727309
    17. ¸
  17. 15m
  18. ema9 - 3.22501
  19. ema21 - 3.23746
  20. ema50 - 3.29147
  21. ema100 - 3.36472
  22. price_ema9_diff - 0.0133274
  23. ema9_ema21_diff - -0.0038433
  24. ema21_ema50_diff - -0.0164115
  25. price_ema100_diff - -0.0287457
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.539654
  29. kc_percentage - 0.785022
  30. kc_width_percentage - 0.0347228
  31. volume_ema_diff - 0.698975
    32. ¸
  32. 5m
  33. ema9 - 3.23318
  34. ema21 - 3.21323
  35. ema50 - 3.22352
  36. ema100 - 3.25129
  37. price_ema9_diff - 0.0107692
  38. ema9_ema21_diff - 0.00620712
  39. ema21_ema50_diff - -0.00319176
  40. price_ema100_diff - 0.00513881
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.684326
  44. kc_percentage - 1.23556
  45. kc_width_percentage - 0.0225493
  46. volume_ema_diff - 0.845383
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104608
  50. 5m_price_ema100_diff: 0.00247007
  51. 5m_price: 104866
  52. 5m_correlation_with_coin: 0.7637
  53. btc_indicators
  54. 15m_ema100: 105988
  55. 15m_price_ema100_diff: -0.010581
  56. 15m_price: 104866
  57. btc_indicators
  58. 1H_ema100: 105961
  59. 1H_price_ema100_diff: -0.010331
  60. 1H_price: 104866
    61. ¸

Short Trade on RENDER

The 17 Jun 2025 at 15:16:29

With 297.7541 RENDER at 3.268$ per unit.

Position size of 973.0603 $

Take profit at 3.2277 (1.23 %) and Stop Loss at 3.2949 (0.82 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46.5 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-06-17 15:17:48 0.9852 30 1
GOAT 2025-06-17 15:17:23 0.9846 40 1
GALA 2025-06-17 15:17:21 0.9826 -100 2
TAO 2025-06-17 15:08:03 0.9832 -100 1
INJ 2025-06-17 15:19:30 0.9819 -35 2
LDO 2025-06-17 15:18:52 0.9817 -30 2
XLM 2025-06-17 15:22:04 0.982 30 1
NEAR 2025-06-17 15:12:10 0.9814 -100 1
ALGO 2025-06-17 15:17:49 0.9812 -100 2
ETHFI 2025-06-17 15:07:22 0.9802 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:16:29		 17 Jun 2025
15:25:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.268 3.2949 3.2277 1.5 3.843
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 3.268
  • Stop Loss: 3.2949
  • Take Profit: 3.2277

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2949 - 3.268 = 0.0269

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.268 - 3.2277 = 0.0403

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0403 / 0.0269 = 1.4981

📌 Position Size

Amount Margin Quantity Leverage
973.0603 100 297.7541 9.73
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0269

Taille de position = 8 / 0.0269 = 297.4

Taille de position USD = 297.4 x 3.268 = 971.9

Donc, tu peux acheter 297.4 avec un stoploss a 3.2949

Avec un position size USD de 971.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 297.4 x 0.0269 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 297.4 x 0.0403 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 297.4
  • Taille de position USD 971.9
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4981

📌 Peformances

TP % Target TP $ Target
1.23 % 12 $
SL % Target SL $ Target
0.82 % 8.01 $
PNL PNL %
-8.04 $ -0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9792 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.228
            [entry_price] => 3.268
            [stop_loss] => 3.2977
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-17 15:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.228
            [entry_price] => 3.268
            [stop_loss] => 3.3004
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-17 15:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.228
            [entry_price] => 3.268
            [stop_loss] => 3.3031
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-17 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.228
            [entry_price] => 3.268
            [stop_loss] => 3.3085
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-17 17:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.054
            [max_drawdown] => 0.038
            [rr_ratio] => 1.42
            [high] => 3.30600000
            [low] => 3.21400000
            [mfe_pct] => 1.65
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 1.42
            [candles_analyzed] => 24
            [start_at] => 2025-06-17T15:16:29-04:00
            [end_at] => 2025-06-17T17:16:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.083
            [max_drawdown] => 0.038
            [rr_ratio] => 2.18
            [high] => 3.30600000
            [low] => 3.18500000
            [mfe_pct] => 2.54
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 2.18
            [candles_analyzed] => 72
            [start_at] => 2025-06-17T15:16:29-04:00
            [end_at] => 2025-06-17T21:16:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.28300000
            [high_after] => 3.30600000
            [low_before] => 3.15500000
            [low_after] => 3.18500000
            [is_new_high] => 
            [is_new_low] => 
        )

)